75
Stack Score
Editorial pick✓ Verified working
Together AI
High-throughput inference for open-source models
Try Together AI✓ Free trial available
Best for
Best for engineering teams running open-source LLMs in production who care about throughput per dollar.
At a glance
- Pricing
- paid
- Setup time
- 15 minutes
- Learning curve
- medium
- Last verified
- 5/21/2026
What we love
- ✓OpenAI-compatible API makes migration trivial
- ✓Per-token pricing on open models is meaningfully cheaper
- ✓Strong throughput numbers on Llama-class workloads
Where it falls short
- −Quality of open models still lags GPT-4 / Claude on hardest tasks
- −Dedicated endpoints carry hourly cost when idle
- −Documentation lags newer model releases
Pricing
✓ Pricing verified Jun 21, 20263 tiers
Serverless
From $0.10/M tokens
per token
- ✓200+ models
- ✓OpenAI-compatible API
- ✓No minimum
Dedicated
From $1.10/hr
per GPU-hour
- ✓Reserved capacity
- ✓Guaranteed throughput
- ✓Custom models
Build
Custom
annual contract
- ✓Fine-tuning credits
- ✓GPU clusters
- ✓SLAs
Why we picked it
When OpenAI prices feel like a tax, Together is where you go. Llama 3.3 70B at sub-second response times for a fraction of GPT-4 cost — every prototype I ship gets here eventually.
Overview
Inference and fine-tuning platform optimized for open-source LLMs (Llama, Mixtral, Qwen, DeepSeek). Often the cheapest way to serve a Llama-class model at production latencies.
Key features
- ●200+ open-source models served via OpenAI-compatible API
- ●Dedicated endpoints for guaranteed throughput
- ●Fine-tuning with LoRA and full-parameter options
- ●Together Code Interpreter for sandboxed execution
- ●Speculative decoding for low-latency serving
- ●Together Chat playground UI
- ●GPU clusters for training
Best use cases
Self-host a Llama replacement for ChatGPT API
Swap the OpenAI base URL to Together and route prompts to Llama 3.3 at a fraction of the cost.
Fine-tune a model on internal data
Upload a JSONL of examples, train a LoRA, deploy as a private endpoint.
Integrations
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